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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Survey of XAI in Digital Pathology
|
|---|---|
| Chapter number | 4 |
| Book title |
Artificial Intelligence and Machine Learning for Digital Pathology
|
| Published in |
arXiv, January 2020
|
| DOI | 10.1007/978-3-030-50402-1_4 |
| Book ISBNs |
978-3-03-050401-4, 978-3-03-050402-1
|
| Authors |
Milda Pocevičiūtė, Gabriel Eilertsen, Claes Lundström, Pocevičiūtė, Milda, Eilertsen, Gabriel, Lundström, Claes |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 2 | 17% |
| Spain | 1 | 8% |
| Netherlands | 1 | 8% |
| Mexico | 1 | 8% |
| Japan | 1 | 8% |
| Unknown | 6 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 50% |
| Scientists | 5 | 42% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 82 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 15% |
| Student > Master | 9 | 11% |
| Researcher | 6 | 7% |
| Professor | 5 | 6% |
| Professor > Associate Professor | 4 | 5% |
| Other | 12 | 15% |
| Unknown | 34 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 24 | 29% |
| Engineering | 9 | 11% |
| Medicine and Dentistry | 3 | 4% |
| Neuroscience | 2 | 2% |
| Social Sciences | 2 | 2% |
| Other | 7 | 9% |
| Unknown | 35 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 November 2020.
All research outputs
#4,651,130
of 25,292,378 outputs
Outputs from arXiv
#90,241
of 1,031,972 outputs
Outputs of similar age
#100,065
of 472,200 outputs
Outputs of similar age from arXiv
#2,998
of 26,567 outputs
Altmetric has tracked 25,292,378 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,031,972 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 91% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 472,200 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 26,567 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.